Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
HumanMCP: A Human-Like Query Dataset for Evaluating MCP Tool Retrieval Performance
arXiv:2602.23367v1 Announce Type: new Abstract: Model Context Protocol (MCP) servers contain a collection of thousands of open-source standardized tools, linking…
Conformalized Neural Networks for Federated Uncertainty Quantification under Dual Heterogeneity
arXiv:2602.23296v2 Announce Type: replace-cross Abstract: Federated learning (FL) faces challenges in uncertainty quantification (UQ). Without reliable UQ, FL systems risk…
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration
arXiv:2410.19450v2 Announce Type: replace Abstract: Offline-to-Online Reinforcement Learning has emerged as a powerful paradigm, leveraging offline data for initialization and…
Do LLMs Benefit From Their Own Words?
arXiv:2602.24287v1 Announce Type: cross Abstract: Multi-turn interactions with large language models typically retain the assistant’s own past responses in the…
MoDora: Tree-Based Semi-Structured Document Analysis System
arXiv:2602.23061v2 Announce Type: replace-cross Abstract: Semi-structured documents integrate diverse interleaved data elements (e.g., tables, charts, hierarchical paragraphs) arranged in various…
Graph Your Way to Inspiration: Integrating Co-Author Graphs with Retrieval-Augmented Generation for Large Language Model Based Scientific Idea Generation
arXiv:2602.22215v1 Announce Type: new Abstract: Large Language Models (LLMs) demonstrate potential in the field of scientific idea generation. However, the…
Hierarchical LLM-Based Multi-Agent Framework with Prompt Optimization for Multi-Robot Task Planning
arXiv:2602.21670v2 Announce Type: replace-cross Abstract: Multi-robot task planning requires decomposing natural-language instructions into executable actions for heterogeneous robot teams. Conventional…
dLLM: Simple Diffusion Language Modeling
arXiv:2602.22661v1 Announce Type: cross Abstract: Although diffusion language models (DLMs) are evolving quickly, many recent models converge on a set…
Instruction-based Image Editing with Planning, Reasoning, and Generation
arXiv:2602.22624v1 Announce Type: cross Abstract: Editing images via instruction provides a natural way to generate interactive content, but it is…
